Autonomous Discovery of Green Inhibitors

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The project aims to develop autonomous material design by integrating evolutionary algorithms and robotic experimentation. The project expects to pioneer a new method of materials discovery that could cut discovery times to 20% of traditional methods. Its expected to have significance through its discovery of new classes of corrosion inhibitors that are safe to both humans and the environment. The expected outcomes of this project will be a rapid discovery methodology that can be used across materials science and new classes of safe corrosion inhibitors. This should provide significant benefits to workplace n safety and the environmental impact of the coatings industry while also increasing the rapid of innovation of new materials.